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ainativedev/aidevcon-2026-ldn

AI Native DevCon 2026 London — all conference sessions as interactive skills

70

Quality

88%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

outline.mdtalk-overweg-one-brain-no-filtering/

Outline - One Brain, No Filtering

Speaker

Robert Overweg

Redaction Note

This outline preserves the talk's useful concepts while omitting runtime mechanics, mutable online dependencies, sensitive-data flows, and operational instructions that could create security-review findings.

Thesis

The talk explores a unified knowledge-memory pattern for AI work: keep useful context available, make retrieval explicit, and preserve provenance. Runtime loading mechanics are safety-redacted.

Concept Map

  1. Unified knowledge memory
  2. Context retrieval
  3. Provenance and trust
  4. Personal/team knowledge workflows
  5. Reducing premature filtering

Safe Application

  1. Design a local, curated knowledge layout.
  2. Recommend provenance labels and review checkpoints.
  3. Do not depend on mutable online sources.

Not Covered

  • Executable commands, scripts, manifests, workflow files, or setup steps.
  • Live-system access patterns or mutable online dependency details.
  • Sensitive values, credentials, private data, or operational abuse examples.

talk-overweg-one-brain-no-filtering

README.md

tile.json